Chris Zemmel.

Founder & Engineer building AI, security, health-tech, and crypto systems, shipped solo, end to end.

OneHealth, Co-Founder & CTO · pre-seed

Projects

Founder-built systems and tools

Side Projects

Weekend builds, experiments, and things I tinker with. Swipe through.

  • Chris 2.0

    Live

    2026

    A personal AI brand page: pick a persona (Casual, Professional, Tech, or Flirty) and chat with an AI version of me. Multi-persona knowledge, entity-graph memory, and a Telegram bot, with an Operator mode for admin.

    Visit
  • Enjin City

    Live

    2026

    A walkable 3D WebGL gallery, built in a weekend. It preserves my old NFT Enterprise collection (many of its NFTs now lost) and renders other collections (not mine) as explorable buildings across the city. A browsable museum of NFT art.

    Visit
  • Finger Beat

    Live

    2026

    Reads your heart rate and an HRV estimate from your phone camera (PPG), entirely on-device. The solo, duel, and tournament modes are a playful layer over research I did for OneHealth into low-cost health-data capture. iPhone-optimised.

    Visit
  • CTZ Records

    Live

    Ongoing

    A just-for-fun music side-quest. The songs are AI-generated, but I direct the composition and do the sound engineering, and every release is mastered through a self-built pipeline (around 50 tracks, including a full Christmas album). Making good songs is easy; the music industry isn't, so this stays a playground.

    Visit
  • Resonara

    Private

    Ongoing

    A multisensory state-design studio: sound, rhythm, body vibration (Woojer haptics), breath, and light turned into designable, measurable sessions, built on a strict honesty model that keeps the measurable, the hypothesised, and the traditional clearly apart and never dresses up the unproven as fact.

  • Kinetara

    Private

    Ongoing

    A headless crypto market signal engine: no interface, just a cron and APIs. It scores live perpetual-futures data each hour and broadcasts a long, short, or stay-silent call to Telegram.

  • Falk

    Experiment

    Ongoing

    An AI authorship engine for entire literary universes: world-building, characters, lore, and chapters, writing internally consistent multi-book trilogies. A fun benchmark for how far AI world-building can go.

  • NFT Tipper Bot

    Discontinued

    2023-2025

    A Telegram-based NFT distribution system on Enjin that processed 100k+ on-chain transactions in production. Its scaling limits are what pushed me toward non-custodial infrastructure.

Chris Zemmel

I've been in crypto for 9 years, and I've spent them building whatever the problem actually needed: AI systems, security tooling, health-tech infrastructure, and blockchain rails, not just one lane. Right now I'm Co-Founder and CTO at OneHealth, building the event-sourced canonical record behind a health navigator, and raising a pre-seed to take it further. Alongside that I built Panoptes, an AI security-review pipeline that's reviewed 160+ targets across 29 ecosystems and flagged real consensus-verification gaps in a live cross-chain bridge that's moved over $100M. I tend to ship solo and end to end: Enjin Governance runs on roughly 330 passing tests and went open-source the same day its funding proposal passed, and nimimo's cryptographic core is open under AGPL-3.0. If any of that maps to what you're building, whether that's an engineering hire, an audit, an investment, or just a conversation, I'd like to hear from you.

Five pillars, zero filler

AI & Autonomous Systems

Multi-agent systems that decide, not just autocomplete.

  • Multi-Agent Orchestration

    • Multi-agent AI councils run by a deterministic orchestrator: typed contracts, domain routing, conflict resolution
    • Model-agnostic provider layer, swappable the day a stronger model ships
    • Reproducible inference: deterministic policy gates wrapped around probabilistic agents
  • Applied LLM Engineering

    • Use-case-specific prompt engineering, semantic pipelines, and structured extraction
    • Multimodal ingestion: documents, images, and free text normalised into typed data
    • Production AI surfaces: chatbots, analyzers, and generative document tooling

Security, Privacy & Cryptography

Built like it will be attacked, because it is.

  • Autonomous Security Review

    • Invariant-directed AI audit pipeline reviewing critical code invariant by invariant
    • One engine across EVM, Solana, Move, Cosmos, Substrate, Bitcoin, ZK circuits, and web2 access-control
    • Detection-only and human-triaged against 100+ vulnerability classes: finds and reports, never exploits
  • Applied Cryptography & Access

    • Non-custodial key management and device-bound encryption, kept fully client-side
    • SIWE-style signature sign-in, rotating httpOnly sessions, and Row Level Security
    • Hard separation of access, identity, ownership, and recovery, with open-core crypto under AGPL
  • Privacy & Compliance

    • Identity stripped at ingestion, before any model sees the data, and privacy regression-gated on every change
    • HIPAA / GDPR-style posture: encryption in transit and at rest, append-only audit logs, zero-retention model APIs
    • Data residency as a deploy choice, with a BAA / DPA posture across every processor

Blockchain & Crypto Infrastructure

9 years in crypto, shipping the rails, not the hype.

  • Industry Experience

    • 9 years of crypto experience
    • Built and ran blockchain platforms end to end: product, QA, support, DevRel, and marketing
  • On-Chain Governance

    • Production Enjin OpenGov client: conviction voting, treasury proposals, live RPC + archive reads
    • EGOV1 on-chain metadata standard with content-addressed proposal backlinks
    • Multi-wallet: WalletConnect v2 + Polkadot.js / Talisman / SubWallet / PolkaGate
  • Non-Custodial Rails

    • Single-link receive across BTC / ETH / SOL / USDC, keys on-device
    • Device-bound key encryption, recovery flows, and open-core crypto under AGPL
    • Token gating, credit systems, and usage metering

Systems & Platform Architecture

Event-sourced foundations that scale and never lie about history.

  • Event-Sourced Foundations

    • Append-only, immutable event logs as the single source of truth
    • Canonical data layers that normalise messy vendor payloads
    • State as a fold over history, answering "what changed and why" at any point
  • Full-Stack & Distributed

    • TypeScript / Next.js product surface; Python for data and ML services
    • Small, independent, containerised services that ship and scale on their own
    • REST, Webhooks, GraphQL, real-time indexing, and event-driven pipelines
  • Reliability at Scale

    • Idempotent real-time transaction handling, retries, and batch processing
    • Rate-limit-aware CDN caching with graceful fallbacks
    • 150,000+ on-chain operations handled in production
  • Human-in-the-Loop

    • Review and approval gates before any autonomous action
    • Provenance-tagged data with traceable, causally-linked outcomes

Product, Automation & Execution

One person, the whole stack, from blank repo to shipped product.

  • 0 → 1 Founder MVPs

    • Rapid architecture from idea to execution, shipped solo
    • Systems that "just work": elegant, focused, minimal config
  • Automation & Data Engineering

    • Internal tools, operational dashboards, financial projections, and reporting
    • Transaction parsing and tagging into structured pipelines; cost forecasting from history
    • Custom technical indicators, token-based access, and tiered pricing mechanics
  • Interface & Craft

    • Interfaces that adapt to user state and input type, with empathy-driven tone
    • Strong eye for minimalism, motion, and clean UI copy
  • One-Man Workforce

    • Full ownership from ideation to deployment, across every discipline
    • DevRel and community to product, QA, and marketing, whatever the role needs

Get in Touch

Hiring, collaborating, an audit engagement, or backing something, tell me what you're thinking.

Minimum 10 characters required